Abstract: A computer implemented method for determining a direction of arrival of a radar detection comprises the following steps carried out by computer hardware components: acquiring a complex-valued beamvector of the radar detection; processing the complex-valued beamvector by a machine learning module in the complex domain; and obtaining the direction of arrival as an output of the machine learning module.

Abstract: A computer-implemented method for determining a position of a vehicle is disclosed, wherein the vehicle is equipped with a sensor for capturing scans of a vicinity of the vehicle, wherein the method comprises at least the following steps carried out by computer-hardware components: capturing at least one scan by means of the sensor with a plurality of sensor data samples given in a sensor data representation; determining, from a database, a predefined map with at least one element is given in a map data representation; determining a transformed map by transforming the at least one element of the predefined map from the map data representation into the sensor data representation; matching at least a subset of the sensor data samples of the at least one scan and the at least one element of the transformed map; and determining the position of the vehicle based on the matching.

Abstract: A computer-implemented method for determining a position of a vehicle is disclosed, wherein the vehicle is equipped with a sensor for capturing scans of a vicinity of the vehicle, wherein the method comprises at least the following steps carried out by computer-hardware components: capturing at least one scan by means of the sensor with a plurality of sensor data samples given in a sensor data representation; determining, from a database, a predefined map with at least one element is given in a map data representation; determining a transformed map by transforming the at least one element of the predefined map from the map data representation into the sensor data representation; matching at least a subset of the sensor data samples of the at least one scan and the at least one element of the transformed map; and determining the position of the vehicle based on the matching.

Abstract: A computer implemented method for determining an angle of a detection comprises the following steps carried out by computer hardware components: acquiring a range rate of the detection; determining a pair of candidate angles of the detection based on the range rate; acquiring a beamvector of the detection; determining a correlation between the beamvector and a reference vector; and determining the angle of the detection based on the pair of candidate angles and based on the correlation.

Abstract: This document describes techniques and systems for enabling more-accurate single-point radar cross section (RCS) approaches for radar simulations without introducing orders of complexity. For automotive radar applications, considering variations in RCS radial patterns, with both angle and range, and because of analytically calculated multi-path effects and near-field RCS effects improves simulation accuracy by incorporating multi-path phenomenon that is present due to ground reflections. The described techniques are performed without using full scale ray-tracing or other computationally demanding techniques.

Abstract: A computer implemented method for determining an angle of a detection comprises the following steps carried out by computer hardware components: acquiring a range rate of the detection; determining a pair of candidate angles of the detection based on the range rate; acquiring a beamvector of the detection; determining a correlation between the beamvector and a reference vector; and determining the angle of the detection based on the pair of candidate angles and based on the correlation.

Abstract: A computer implemented method for determining a direction of arrival of a radar detection comprises the following steps carried out by computer hardware components: acquiring a complex-valued beamvector of the radar detection; processing the complex-valued beamvector by a machine learning module in the complex domain; and obtaining the direction of arrival as an output of the machine learning module.

Abstract: A method for simulating electromagnetic interactions between an antenna with a reflecting front face and at least one electromagnetic radiator and an electrically large interaction structure placed in front of the antenna comprises providing an antenna model representing the antenna, the antenna model comprising an antenna surface representing the front face and at least one field source representing the at least one radiator, wherein the field source is placed at the antenna surface and is configured as a far field source that is defined by a predetermined radiation pattern, and wherein direct electromagnetic interaction between the field source and the antenna surface is avoided. The method further comprises determining electromagnetic radiation launched by the field source based on the predetermined radiation pattern, propagating the radiation using an asymptotic numerical method, and determining interactions of the radiation with the interaction structure and with the antenna surface.

Abstract: A computer-implemented method for determining a position of a vehicle is disclosed, wherein the vehicle is equipped with a sensor for capturing scans of a vicinity of the vehicle, wherein the method comprises at least the following steps carried out by computer-hardware components: capturing at least one scan by means of the sensor with a plurality of sensor data samples given in a sensor data representation; determining, from a database, a predefined map with at least one element is given in a map data representation; determining a transformed map by transforming the at least one element of the predefined map from the map data representation into the sensor data representation; matching at least a subset of the sensor data samples of the at least one scan and the at least one element of the transformed map; and determining the position of the vehicle based on the matching.

Abstract: A computer-implemented method for determining a position of a vehicle is disclosed, wherein the vehicle is equipped with a sensor for capturing scans of a vicinity of the vehicle, wherein the method comprises at least the following steps carried out by computer-hardware components: capturing at least one scan by means of the sensor with a plurality of sensor data samples given in a sensor data representation; determining, from a database, a predefined map with at least one element is given in a map data representation; determining a transformed map by transforming the at least one element of the predefined map from the map data representation into the sensor data representation; matching at least a subset of the sensor data samples of the at least one scan and the at least one element of the transformed map; and determining the position of the vehicle based on the matching.

Abstract: A method for simulating electromagnetic interactions between an antenna with a reflecting front face and at least one electromagnetic radiator and an electrically large interaction structure placed in front of the antenna comprises providing an antenna model representing the antenna, the antenna model comprising an antenna surface representing the front face and at least one field source representing the at least one radiator, wherein the field source is placed at the antenna surface and is configured as a far field source that is defined by a predetermined radiation pattern, and wherein direct electromagnetic interaction between the field source and the antenna surface is avoided. The method further comprises determining electromagnetic radiation launched by the field source based on the predetermined radiation pattern, propagating the radiation using an asymptotic numerical method, and determining interactions of the radiation with the interaction structure and with the antenna surface.